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Apprentice of Oz: Human in the Loop System for Conversational Robot Wizard of Oz
Cited 2 time in
Web of Science
Cited 5 time in Scopus
- Authors
- Issue Date
- 2019-03
- Publisher
- IEEE
- Citation
- HRI '19: 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, pp.516-517
- Abstract
- Conversational robots that exhibit human-level abilities in physical and verbal conversation are widely used in human-robot interaction studies, along with the Wizard of Oz protocol. However, even with the protocol, manipulating the robot to move and talk is cognitively demanding. A preliminary study with a humanoid was conducted to observe difficulties wizards experienced in each of four subtasks: attention, decision, execution, and reflection. Apprentice of Oz is a human-in-the-loop Wizard of Oz system designed to reduce the wizard's cognitive load in each subtask. Each task is co-performed by the wizard and the system. This paper describes the system design from the view of each subtask.
- ISSN
- 2167-2121
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